# -*- coding: utf-8 -*-
import pendulum
from airflow.exceptions import AirflowSkipException
from datetime import timedelta
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator

cst = pendulum.timezone('Asia/Shanghai')
class aiWideSparkSqlOperator(SparkSqlOperator):

    def pre_execute(self, context):
        day = cst.convert(context['ti'].execution_date) + timedelta(hours=6)

        schedule_date = ['00']

        if day.strftime('%H') in schedule_date:
            print(f'{day.strftime("%H")} in {schedule_date}, should skip')
            super().pre_execute(context)
            raise AirflowSkipException()
        else:
            print(f'{day.strftime("%H")} not in {schedule_date}, run now')
            super().pre_execute(context)

jms_dwd__dwd_waybill_change_base_hi = aiWideSparkSqlOperator(
    task_id='jms_dwd__dwd_waybill_change_base_hi',
    task_concurrency=1,
    pool_slots=9,
    master='yarn',
    name='jms_dwd__dwd_waybill_change_base_hi_{{ execution_date | hour_add(1) | cst_hour }}',
    sql='ai_ageing_cusc_hi/dwd/dwd_warhouse/dwd_waybill_change_base_hi/execute.sql',
    # driver_memory='40G',
    # driver_cores=8,
    email=['rongguangfan@jtexpress.com','yl_bigdata@yl-scm.com'],
    #executor_cores=2,
    executor_cores=2,
    retries=1,
    #executor_memory='5G',
    executor_memory='3G',
    priority_weight=5,
    #num_executors=20,  # spark.dynamicAllocation.enabled 为 True 时，num_executors 表示最少 Executor 数
    num_executors=5,
    conf={'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
          'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
          ## 'spark.dynamicAllocation.maxExecutors': 240,  # 动态资源最大扩容 Executor 数
          'spark.dynamicAllocation.maxExecutors'             : 6,
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': 180,  # 动态资源自动释放闲置 Executor 的超时时间(s)
          'spark.sql.sources.partitionOverwriteMode': 'dynamic',  # 允许删改已存在的分区
          'spark.executor.memoryOverhead': '6G',  # 堆外内存
          'spark.sql.shuffle.partitions': 6000,
          'spark.default.paralleism': 6000,
          'spark.hadoop.hive.exec.dynamic.partition.mode': 'true',
          'spark.sql.autoBroadcastJoinThreshold': 3221225472
          },
     hiveconf={'hive.exec.dynamic.partition': 'true',  # 动态分区
               'hive.exec.dynamic.partition.mode': 'nonstrict',
               'hive.exec.max.dynamic.partitions': 90,  # 每天生成 60 个分区
               'hive.exec.max.dynamic.partitions.pernode': 90,  # 每天生成 60 个分区
               },
    yarn_queue='pro',
    #execution_timeout=timedelta(hours=2)
    #excel平均时长:16分31秒
    execution_timeout = timedelta(minutes=20),
)
